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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 163  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
IN, RCS, NV
(Joint)
2024-05-31
15:05
Fukuoka Fukuoka University [Encouragement Talk] NOMA-Based Highly-Efficient Low-Latency HARQ Method with Inter-Base Station Cooperation for URLLC
Kenichi Higuchi, Ryota Kobayashi, Takanori Hara (Tokyo Univ. of Science), Yasuaki Yuda (Panasonic Holdings)
(To be available after the conference date) [more]
IT 2023-08-03
13:00
Kanagawa Shonan Institute of Technology
(Primary: On-site, Secondary: Online)
New Hybrid-II ARQ Schemes for the Z-Channel and Their Performance Evaluations
Xiao Yu, Tomohiko Uyematsu (Tokyo Tech) IT2023-14
The $Z$-channel is a typical binary asymmetric channel, where only 1→0 errors are possible. In this channel, the combina... [more] IT2023-14
pp.1-6
SeMI, RCS, RCC, NS, SR
(Joint)
2023-07-13
10:15
Osaka Osaka University Nakanoshima Center + Online
(Primary: On-site, Secondary: Online)
NOMA-HARQ with Adaptive Termination Based on Early Decision Using Channel State Information for URLLC
Go Takita, Takanori Hara (Tokyo Univ. of Science), Yasuaki Yuda (Panasonic), Kenichi Higuchi (Tokyo Univ. of Science) RCS2023-88
This paper extends our previously reported a repetition-based low-latency non-orthogonal multiple access (NOMA)- hybrid ... [more] RCS2023-88
pp.45-50
KBSE 2023-01-20
13:45
Ishikawa  
(Primary: On-site, Secondary: Online)
Toward Analyzing OSS Developers Contributing to the Removal of Technical Debt in Multiple Projects
Junya Hishikawa, Daisuke Fukumoto, Soratouch Pornmaneerattanatri, Yutaro Kashiwa, Toshiki Hirao (NAIST), Kenji Fujiwara (TCU), Hajimu Iida (NAIST) KBSE2022-52
In recent years, it has been reported that a large amount of technical debt in systems hinders Digital Transformation (D... [more] KBSE2022-52
pp.52-57
RCS 2022-10-27
10:45
Ehime Ehime University, and online
(Primary: On-site, Secondary: Online)
Investigation of NOMA-Based Highly-Efficient Low-Latency HARQ Method with Inter-Base Station Cooperation for URLLC
Ryota Kobayashi, Takanori Hara (Tokyo Univ. of Science), Yasuaki Yuda (Panasonic), Kenichi Higuchi (Tokyo Univ. of Science) RCS2022-131
This paper extends our previously reported non-orthogonal multiple access (NOMA)-based high-efficient and low-latency hy... [more] RCS2022-131
pp.19-24
AI 2022-07-04
11:50
Hokkaido
(Primary: On-site, Secondary: Online)
Efficient Query Solution and Highly Compressed Indexing for Large RDF Graphs
Koji Fujiwara, Ken Kaneiwa (UEC) AI2022-6
The number and size of RDF graphs on the Web grow continuously and demand efficient solutions with compressed data stora... [more] AI2022-6
pp.31-36
RCS 2022-06-16
10:45
Okinawa University of the Ryukyus, Senbaru Campus and online
(Primary: On-site, Secondary: Online)
Study on performance improvement of early hybrid automatic repeat request method on 5G URLLC using adaptive modulation and coding
Kyosuke Sano, Akira Hasegawa, Eiji Okamoto (NITech), Manabu Mikami, Hitoshi Yoshino (SoftBank) RCS2022-45
Ultra-reliable and low latency communications (URLLC) is one of the key scenarios for the 5th generation mobile communic... [more] RCS2022-45
pp.126-131
IT, ISEC, RCC, WBS 2022-03-10
11:35
Online Online Hybrid-ARQ Scheme Using Systematic Polarization-Adjusted Convolutional Codes
Mizuho Asahi, Y. Vamoua, Hideki Yagi (UEC) IT2021-87 ISEC2021-52 WBS2021-55 RCC2021-62
Recently, Polarization-Adjusted Convolutional (PAC) codes have been proposed by Arıkan, and it is shown that the error p... [more] IT2021-87 ISEC2021-52 WBS2021-55 RCC2021-62
pp.25-30
RCS 2021-06-23
10:10
Online Online A Study on Throughput Improvement of Adaptive Modulation and Coding based HARQ in 5G URLLC
Akira Hasegawa, Eiji Okamoto (NIT), Manabu Mikami, Hitoshi Yoshino (SoftBank corp.) RCS2021-33
Ultra-reliable and low latency communications (URLLC) is one of the main scenarios for the 5th generation mobile communi... [more] RCS2021-33
pp.25-30
RCS 2021-06-23
13:00
Online Online Efficient HARQ Method Using Hierarchically Structured Physical Channel Identifiers in NOMA-based Random Access for Multi-Packet Reception
Megumi Asada (Tokyo Univ. of Science), Nobuhide Nonaka (NTT DOCOMO), Kenichi Higuchi (Tokyo Univ. of Science) RCS2021-36
This paper proposes an efficient hybrid automatic repeat request (HARQ) method achieving both the packet combining and r... [more] RCS2021-36
pp.43-48
RCS 2021-06-23
13:40
Online Online Investigation of NOMA-based High-Efficient and Low-Latency HARQ Method for URLLC
Ryota Kobayashi (Tokyo Univ. of Science), Yasuaki Yuda (Panasonic), Kenichi Higuchi (Tokyo Univ. of Science) RCS2021-40
Hybrid automatic repeat request (HARQ) is an essential technology to efficiently reduce the error rate. However, for ult... [more] RCS2021-40
pp.68-74
SIP, IT, RCS 2021-01-21
09:50
Online Online Study on performance analysis of early HARQ retransmission control in high-mobility environments
Yusaku Shiomitsu, Eiji Okamoto (NITech), Manabu Mikami, Hitoshi Yoshino (SB) IT2020-71 SIP2020-49 RCS2020-162
Ultra-reliable and low-latency communication (URLLC) is one of the main requirements of the fifth-generation mobile comm... [more] IT2020-71 SIP2020-49 RCS2020-162
pp.46-51
RCS, AP, UWT
(Joint)
2020-11-25
10:40
Online Online Superposition Coding-Based Non-orthogonal HARQ with Adaptive Power Allocation Using Multistage Decision
Hironobu Onaya, Kenichi Higuchi (Tokyo Univ. of Science) RCS2020-112
This paper proposes a superposition coding-based non-orthogonal hybrid automatic repeat request (HARQ) method with adapt... [more] RCS2020-112
pp.13-16
RCS 2020-06-24
13:50
Online Online Investigation of Adaptive Transmission Rate Control Based on Machine Learning Using Only ACK/NAK Feedback
Takumi Endo, Kenichi Higuchi (Tokyo Univ. of Science) RCS2020-25
This paper investigates an adaptive transmission rate control based on machine learning using only ACK/NAK feedback info... [more] RCS2020-25
pp.13-18
IE, CS, IPSJ-AVM, ITE-BCT [detail] 2019-12-05
09:25
Iwate Aiina Center Study of Reliable IP Multicast with P2P Packet Loss Recovery Using WebRTC
Daiki Fukudome, Masaaki Kurozumi, Satoshi Nishimura (NHK) CS2019-70 IE2019-50
It is generally known that distribution using IP multicast is efficient in one-to-many or many-to-many large-scale distr... [more] CS2019-70 IE2019-50
pp.1-6
RCS 2019-06-20
09:50
Okinawa Miyakojima Hirara Port Terminal Building Low Latency Hybrid ARQ Method Using Early Retransmission Before Channel Decoding with Multistage Decision
Kentarou Taniyama (Tokyo Univ. of Science), Yoshihisa Kishiyama (NTT DOCOMO), Kenichi Higuchi (Tokyo Univ. of Science) RCS2019-65
This paper extends our previously reported low latency hybrid automatic repeat request (HARQ) using early retransmission... [more] RCS2019-65
pp.169-174
RCS 2019-06-20
10:00
Okinawa Miyakojima Hirara Port Terminal Building Low Latency HARQ Method Using Early Retransmission Before Channel Decoding Based on Superposition Coding
Koka Miura (Tokyo Univ. of Science), Yoshihisa Kishiyama (NTT DOCOMO), Kenichi Higuchi (Tokyo Univ. of Science) RCS2019-66
This paper proposes a superposition coding-based early retransmission scheme in our previously reported low latency hybr... [more] RCS2019-66
pp.175-180
RCS 2019-06-20
10:30
Okinawa Miyakojima Hirara Port Terminal Building Investigation on Retransmission Scheme in IDMA-Based Random Access
Yuichiro Shake (Tokyo Univ. of Science), Yoshihisa Kishiyama (NTT DOCOMO), Kenichi Higuchi (Tokyo Univ. of Science) RCS2019-69
This paper investigates a packet retransmission scheme appropriate for an interleave division multiple access (IDMA)-bas... [more] RCS2019-69
pp.197-202
RCS 2019-06-21
11:10
Okinawa Miyakojima Hirara Port Terminal Building Interference Control of LTE-LAA using Q-learning with HARQ
Kenshiro Wada, Tomoaki Ohtsuki (Keio Univ.) RCS2019-91
As a means of high-speed and large-capacity communication, broadbandization of LTE communication is considered.
Howeve... [more]
RCS2019-91
pp.315-320
DC, CPSY, IPSJ-ARC [detail] 2019-06-12
10:50
Kagoshima National Park Resort Ibusuki CPSY2019-12 DC2019-12 (To be available after the conference date) [more] CPSY2019-12 DC2019-12
pp.103-107
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